Building Ateegnas · Odisha, India

Manas Ranjan Bissoyi · Founder, Ateegnas

The model is rarely the weak link. The data is.

I'm building Ateegnas, an AI-native annotation layer that delivers consistent, high-quality training data at speed.

samples 0 / 0 clean ateegnas.pipeline
# thesis

Fix the data and the product follows

Teams spend months tuning models and comparatively little on what goes into them. Mislabelled samples, thin coverage and noisy collection show up later as a product that fails in ways nobody can trace.

My belief is simple: the weakest link in any AI product isn't the model, it's the data feeding it. That's the problem I'm solving.

# now

Ateegnas

Founder · Mar 2025 – present

An AI-native annotation layer, built from Nabarangpur, Odisha. Ateegnas produces consistent, high-quality training data at ultrafast speed, so AI teams stop losing accuracy to noisy labels.

  • annotation
  • data collection
  • egocentric data
  • training data QA
  • Top 3%Tavastra VC, of 4,242 applicants
  • Top 100IPV Idea School, of 2,000 startups
  • TIDE 2.0MeitY grant via NIT Rourkela, a government AI innovation programme
# built

Things I've shipped myself

I taught myself AI workflows by building: RAG-based tools, a fine-tuned BERT model on Hugging Face, and full-stack products.

Kazbrekker

model · Python

A sentiment classifier fine-tuned from BERT-base, sorting text into Positive, Negative, Neutral and Irrelevant. Published on Hugging Face, with 11 downloads in its first 12 hours.

accuracy
92.2%
macro F1
0.922
val loss
0.334

JustBid

web app · TypeScript

A leaderboard where companies bid with startup credits, discounts and goodies to stay on top, so founders find the best perks in one place.

  • React 19
  • Express
  • Firebase
  • Supabase
  • Gemini API
  • payments

Remember

dev tool · JavaScript

A persistent memory layer for AI agents, so they keep context across sessions. Includes a developer dashboard for what an agent stores and recalls.

  • React
  • Python backend
  • agent memory

More AI builds

  • Inventory bot for local businessesA RAG-based assistant that answers stock questions from a shop's own inventory data.
  • Personal research assistantAutomated research workflows built in n8n.
  • Brand monitoring systemTracks mentions on Twitter and Reddit with Rilo and scores them with LLM sentiment analysis.

Learning phase · ages 15–18

  • Study appCurated YouTube playlists that helped classmates keep studying during lockdown.
  • Fund Your Idea on Nas.ioA community of 300+ founders that earned ₹60K.
  • No-code product attemptsSeveral products built before I could code. They failed, and taught me how to ship.
# experience

A path that wasn't linear

Affiliate marketing, crowdfunding and student counseling came first. Then three startups and a 300-founder community before Ateegnas.

  1. iMerit Scholars · Data Collector

    Collected egocentric data in the scholars program, a first-hand look at how large annotation teams gather real-world data.

  2. Ateegnas · Foundercurrent

    Building data infrastructure for AI.

  3. Brevity · Founder

    A short-drama platform for affordable, episodic entertainment, designed to pay creators more and keep viewers engaged.

  4. Nas.io · Community Manager

    Started and grew “Fund Your Idea” to 300+ startup founders in under three months and ₹60K in revenue, sharing grant and funding databases, tools and pitch-deck support.

  5. Gulu · Co-Founder

    An organic social platform for genuine local connection, with no fake accounts or theme pages.

  6. Testbook · Tele-counselor

    Guided students from many boards and regions through course selection and onboarding.

  7. Tare Zameen Foundation · Crowdfunding Intern

    Ran social-media crowdfunding campaigns and made the content that brought in donors. Interned at Muskurahat Foundation over the same summer.

  8. Millionaire Track · Affiliate Marketer

    Sold courses on Canva, Facebook Ads and Google Ads through affiliate campaigns with a high conversion rate.

# skills

Top skills

  • Fine-tuning
  • Text classification
  • Hugging Face
  • RAG pipelines
  • Community building

Stack

  • Python, JavaScript languages
  • React, React Native front end
  • Firebase, MongoDB data
  • AWS, Google Cloud cloud
  • Vercel, Netlify, Cloudflare deploy

Languages

  • Odia native
  • Hindi full professional
  • English working

Recognition

  • Best Leadership award
  • Foundations of Business & Entrepreneurship cert.
# education
  • 2023 – 2024
    Vikram Deb University, JeyporeBBA, Business Administration and Management
  • 2016 – 2023
    Jawahar Navodaya VidyalayaClass 12, Science
  • 2022
    ElearnmarketsBasics of the Stock Market
# contact

Working on AI and need better data? Let's talk.

LinkedIn ↗ GitHub ↗ Hugging Face ↗